Daniela Lupu

15 papers C 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Systematic Approach to General Higher-Order Majorization-Minimization Algorithms for (Non)convex Optimization.
SIAM J. Optim.
Ion Necoara, Daniela Lupu
2025 — conf
A stochastic augumented Lagrangian algorithm for smooth convex optimization: application to MPC with quadratic constraints.
MED
Nitesh Kumar Singh, Daniela Lupu, Ion Necoara
2025 — conf
Deep unfolding primal-dual architectures: application to linear model predictive control.
MED
Daniela Lupu, Ion Necoara, Lucian Toma
2025 J jnl
Quick Unsupervised Hyperspectral Dimensionality Reduction for Earth Observation: A Comparison.
IEEE Trans. Computational Imaging
Daniela Lupu, Joseph L. Garrett, Tor Arne Johansen, Milica Orlandic, Ion Necoara
2024 J jnl
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction.
CoRR
Jon Álvarez Justo, Daniela Lupu, Milica Orlandic, Ion Necoara, Tor Arne Johansen
2024 J jnl
Convergence analysis of stochastic higher-order majorization-minimization algorithms.
Optim. Methods Softw.
Daniela Lupu, Ion Necoara
2024 J jnl
Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks.
Syst. Control. Lett.
Daniela Lupu, Ion Necoara
2023 C conf
Control of a wastewater treatment process using linear and nonlinear model predictive control.
ETFA
Liliana Maria Ghinea, Daniela Lupu, Marian Barbu, Ion Necoara
2023 — conf
Deep unfolding projected first order methods-based architectures: application to linear model predictive control.
ECC
Daniela Lupu, Ion Necoara
2023 — conf
Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm.
ECC
Daniela Lupu, Ion Necoara, Tudor C. Ionescu, Liliana Maria Ghinea, Joseph L. Garrett, Tor Arne Johansen
2022 — conf
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction.
IVMSP
Jon Álvarez Justo, Daniela Lupu, Milica Orlandic, Ion Necoara, Tor Arne Johansen
2022 — conf
Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization.
CDC
Flávia Chorobura, Daniela Lupu, Ion Necoara
2022 J jnl
Stochastic Higher-Order Independent Component Analysis for Hyperspectral Dimensionality Reduction.
IEEE Trans. Computational Imaging
Daniela Lupu, Ion Necoara, Joseph L. Garrett, Tor Arne Johansen
2021 — conf
Local linear convergence of stochastic higher-order methods for convex optimization.
ECC
Daniela Lupu, Ion Necoara
2020 J jnl
Venlafaxine Chiral Separation by Capillary Electrophoresis Using Cyclodextrin Derivatives as Chiral Selector and Experimental Design Method Optimization.
Symmetry
Andreea Milan, Gabriel Hancu, Daniela Lupu, Monica Budau, Vladimir Garaj, Hajnal Kelemen